Climate Change Data Portal
DOI | 10.1038/s41893-022-01020-5 |
Human fingerprint on structural density of forests globally | |
Li, Wang; Guo, Wen-Yong; Pasgaard, Maya; Niu, Zheng; Wang, Li; Chen, Fang; Qin, Yuchu; Svenning, Jens-Christian | |
发表日期 | 2022 |
ISSN | 2398-9629 |
页码 | 21 |
英文摘要 | Understanding global forces impacting forests is increasingly vital. This study finds that human factors follow climate as the most important factors affecting forest structure globally and are the dominant factor regionally, even in many protected areas and so-called intact forest landscapes. Climate change and human activities strongly influence forests, but uncertainties persist about the pervasiveness of these stressors and how they will shape future forest structure. Disentangling the relative influences of climate and human activities on global forest structure is essential for understanding and predicting the role of forests in biosphere carbon cycling and biodiversity conservation as well as for climate mitigation strategies. Using a synthetic forest canopy structure index, we map forest structural density at a near-global scale using a satellite dataset. We find distinct latitudinal patterns of multidimensional forest structure and that forests in protected areas (PAs) and so-called intact forest landscapes (IFLs) have an overall higher structural density than other forests. Human factors are the second-most important driver of forest structure after climate (temperature and rainfall), both globally and regionally, with negative associations to structural density. Human factors are the dominant driver of regional-scale variation in structural density in 35.1% of forests globally and even of forest structure in 31.4% and 22.4% of forests in PAs and IFLs, respectively. As anthropogenic forest degradation clearly affects many areas that are formally protected or perceived to be intact, it is vital to counteract human impacts more effectively in the planning and sustainable management of PAs and IFLs. |
学科领域 | Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies |
语种 | 英语 |
WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
WOS记录号 | WOS:000916044000002 |
来源期刊 | NATURE SUSTAINABILITY
![]() |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/272863 |
作者单位 | Chinese Academy of Sciences; Aarhus University; Aarhus University; East China Normal University; Aarhus University |
推荐引用方式 GB/T 7714 | Li, Wang,Guo, Wen-Yong,Pasgaard, Maya,et al. Human fingerprint on structural density of forests globally[J],2022:21. |
APA | Li, Wang.,Guo, Wen-Yong.,Pasgaard, Maya.,Niu, Zheng.,Wang, Li.,...&Svenning, Jens-Christian.(2022).Human fingerprint on structural density of forests globally.NATURE SUSTAINABILITY,21. |
MLA | Li, Wang,et al."Human fingerprint on structural density of forests globally".NATURE SUSTAINABILITY (2022):21. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。